navi_hype_engine

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full behavioral disclosure burden. It explicitly states that the tool is paid ($0.01 USDC per call via x402, auto-settled), proprietary, deterministic, and LLM-free, giving the agent important cost and reliability context. It doesn't discuss failure modes or output formatting, but for a read-only analytics tool, this is a solid level of transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence that front-loads the core purpose ('Fundamentals engine for the HYPE token') and then enumerates metrics and outputs. While it is grammatically a run-on, every clause adds substantive information, and there is no filler. It could be split into two sentences, but it remains concise and focused.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description adequately explains the return value: scores on three axes, a recommendation, and buy-zone detection. It also covers pricing, methodology, and deterministic nature. It lacks a sample response or definitions of the axes, but for a no-parameter tool with this level of detail, it is nearly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the schema is trivially 100% covered. The description appropriately doesn't discuss parameters. The baseline for 0-param tools is 4, and the description adds value by explaining the methodology and outputs rather than input semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a fundamentals engine for the HYPE token, listing specific outputs (price, funding, OI, valuation percentile, etc.) and the synthesized recommendation. It distinguishes itself by being HYPE-specific and scoring into three named axes. However, it lacks an explicit verb (e.g., 'retrieves', 'calculates') and doesn't differentiate from siblings like navi_hype_signal beyond implication.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description conveys the use case: analyzing HYPE fundamentals for investment/trading decisions. It implies this is for when a holistic, deterministic, paid analysis is needed. However, it does not explicitly state when not to use it or suggest alternatives such as navi_hype_signal or navi_crypto_health, leaving the boundary between sibling tools unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.